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Billions of mobile sensing devices in Internet of Things (IoT) collect data from surrounding environment in which the Medium Access protocol is employed. Quorum-based protocols are most important medium access control protocol (MAC) for wake-up based devices. However, existing quorum-based protocols cannot achieve both low latency and long lifetime at the same time. In this paper, a novel Element Shift Quorum (ESQ) based MAC is proposed in the sensor based systems. Data transmission is usually launched from the periphery of the network through multi hop routing to the data collector (DC), thus the data operation time of devices are different based on the distance from the DC. In the ESQ protocol, the Quorum time slot (QTS) of sensing devices is scheduled in the time when the devices just have data to process, then the latency and energy consumption can be reduced. In this way, sufficient QTS are allocated for nodes when data operation is needed, and nodes can stay at sleeping state when no data forwarding is required, thus enhancing the energy efficiency and lowering the network delay. Theoretical analysis and experimental results show that, the lifetime is increased by 16% using the proposed method. Meanwhile, the latency is reduced by a factor between 9.08%- 29.32%.
Yuxin Liu; Xiao Liu; Ming Zhao; Kelvin Kian Loong Wong; Ming Ma. An Element Shift Quorum based Medium Access Protocol for Internet of Things. IEEE Transactions on Vehicular Technology 2021, 70, 7113 -7126.
AMA StyleYuxin Liu, Xiao Liu, Ming Zhao, Kelvin Kian Loong Wong, Ming Ma. An Element Shift Quorum based Medium Access Protocol for Internet of Things. IEEE Transactions on Vehicular Technology. 2021; 70 (7):7113-7126.
Chicago/Turabian StyleYuxin Liu; Xiao Liu; Ming Zhao; Kelvin Kian Loong Wong; Ming Ma. 2021. "An Element Shift Quorum based Medium Access Protocol for Internet of Things." IEEE Transactions on Vehicular Technology 70, no. 7: 7113-7126.
Brain morphometry plays a fundamental role in neuroimaging research. In this work, we propose a novel method for brain surface morphometry analysis based on surface foliation theory. Given brain cortical surfaces with automatically extracted landmark curves, we first construct finite foliations on surfaces. A set of admissible curves and a height parameter for each loop are provided by users. The admissible curves cut the surface into a set of pairs of pants. A pants decomposition graph is then constructed. Strebel differential is obtained by computing a unique harmonic map from surface to pants decomposition graph. The critical trajectories of Strebel differential decompose the surface into topological cylinders. After conformally mapping those topological cylinders to standard cylinders, parameters of standard cylinders (height, circumference) are intrinsic geometric features of the original cortical surfaces and thus can be used for morphometry analysis purpose. In this work, we propose a set of novel surface features. To the best of our knowledge, this is the first work to make use of surface foliation theory for brain morphometry analysis. The features we computed are intrinsic and informative. The proposed method is rigorous, geometric, and automatic. Experimental results on classifying brain cortical surfaces between patients with Alzheimer’s disease and healthy control subjects demonstrate the efficiency and efficacy of our method.
Chengfeng Wen; Na Lei; Ming Ma; Xin Qi; Wen Zhang; Yalin Wang; Xianfeng Gu. Surface Foliation Based Brain Morphometry Analysis. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 11846, 186 -195.
AMA StyleChengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu. Surface Foliation Based Brain Morphometry Analysis. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; 11846 ():186-195.
Chicago/Turabian StyleChengfeng Wen; Na Lei; Ming Ma; Xin Qi; Wen Zhang; Yalin Wang; Xianfeng Gu. 2019. "Surface Foliation Based Brain Morphometry Analysis." Transactions on Petri Nets and Other Models of Concurrency XV 11846, no. : 186-195.
Registration and visualization of surfaces play a significant role in the engineering and medical fields. Especially in virtual colonoscopy (VC), an efficient and robust registration method between supine and prone computed tomography (CT) scans is highly desirable, due to the fact that it helps improve polyp detection rates. However, supine and prone colon registration is still a challenging task due to the large distortion in colon shape. In this work, we present a novel registration and visualization framework for supine and prone colon scans using the optimal mass transport (OMT) theory. The proposed novel method enables parameterization of the colon surface onto the planar rectangle domain for better registration and visualization. Also, we develop novel flattened visualization of the colon wall with magnification of polyps using color-coded distance change in the 2D map. Experimental results validate our proposed registration method and demonstrate the effectiveness and robustness of our method.
Ming Ma; Joseph Marino; Saad Nadeem; Xianfeng Gu. Supine to prone colon registration and visualization based on optimal mass transport. Graphical Models 2019, 104, 101031 .
AMA StyleMing Ma, Joseph Marino, Saad Nadeem, Xianfeng Gu. Supine to prone colon registration and visualization based on optimal mass transport. Graphical Models. 2019; 104 ():101031.
Chicago/Turabian StyleMing Ma; Joseph Marino; Saad Nadeem; Xianfeng Gu. 2019. "Supine to prone colon registration and visualization based on optimal mass transport." Graphical Models 104, no. : 101031.
Due to the limit of computation and storage capability of devices, traditional security techniques face many challenges in the process of data transmission. Networks need to consume more energy and larger transmission for transmitting data in insecure network status. However, it is of great importance to deliver packets to the base station (or sink node) in a timely manner to support the delay-sensitive applications. For Wireless Sensor Networks (WSNs), it is challenging to satisfy end-to-end delay requirements due to the duty cycle adopted by the nodes, which can cause considerable delay because nodes can only transmit or receive information in their active periods (i.e., resulting in sleep delay). To address this issue, a dynamic duty cycle (DDC) scheme is proposed for minimizing the delay in WSNs. Specifically, we firstly investigate how the duty cycle affects the network delay. Then, the DDC scheme is devised to prolong the active period of nodes in non-hotspots areas. With a greater duty cycle, the forwarding node set remains awake with a larger chance. Consequently, the sleep delay of a node decreases, and the transmission delay is reduced. In addition, only the remaining energy of nodes is used to improve the performance. Thus, the DDC scheme does not damage network lifetime. Through analysis and experimental results, it is demonstrated that the DDC scheme can outperform other schemes. Compared with the existing fixed duty cycle (SDC) scheme, the transmission delay in the DDC scheme is reduced by 20–50%, the lifetime is increased by more than 16.7%, and the energy efficiency is improved by 15.3%–16.3%.
Yuxin Liu; Anfeng Liu; Ning Zhang; Xiao Liu; Ming Ma; Yanling Hu. DDC: Dynamic duty cycle for improving delay and energy efficiency in wireless sensor networks. Journal of Network and Computer Applications 2019, 131, 16 -27.
AMA StyleYuxin Liu, Anfeng Liu, Ning Zhang, Xiao Liu, Ming Ma, Yanling Hu. DDC: Dynamic duty cycle for improving delay and energy efficiency in wireless sensor networks. Journal of Network and Computer Applications. 2019; 131 ():16-27.
Chicago/Turabian StyleYuxin Liu; Anfeng Liu; Ning Zhang; Xiao Liu; Ming Ma; Yanling Hu. 2019. "DDC: Dynamic duty cycle for improving delay and energy efficiency in wireless sensor networks." Journal of Network and Computer Applications 131, no. : 16-27.
For Industrial Wireless Sensor Networks (IWSNs), sending data with timely style to the stink (or control center, CC) that is monitored by sensor nodes is a challenging issue. However, in order to save energy, wireless sensor networks based on a duty cycle are widely used in the industrial field, which can bring great delay to data transmission. We observe that if the duty cycle of a small number of nodes in the network is set to 1, the sleep delay caused by the duty cycle can be effectively reduced. Thus, in this paper, a novel Portion of Nodes with Larger Duty Cycle (PNLDC) scheme is proposed to reduce delay and optimize energy efficiency for IWSNs. In the PNLDC scheme, a portion of nodes are selected to set their duty cycle to 1, and the proportion of nodes with the duty cycle of 1 is determined according to the energy abundance of the area in which the node is located. The more the residual energy in the region, the greater the proportion of the selected nodes. Because there are a certain proportion of nodes with the duty cycle of 1 in the network, the PNLDC scheme can effectively reduce delay in IWSNs. The performance analysis and experimental results show that the proposed scheme significantly reduces the delay for forwarding data by 8.9~26.4% and delay for detection by 2.1~24.6% without reducing the network lifetime when compared with the fixed duty cycle method. Meanwhile, compared with the dynamic duty cycle strategy, the proposed scheme has certain advantages in terms of energy utilization and delay reduction.
Minrui Wu; Yanhui Wu; Chuyao Liu; Zhiping Cai; Neal N. Xiong; Anfeng Liu; Ming Ma. An Effective Delay Reduction Approach through a Portion of Nodes with a Larger Duty Cycle for Industrial WSNs. Sensors 2018, 18, 1535 .
AMA StyleMinrui Wu, Yanhui Wu, Chuyao Liu, Zhiping Cai, Neal N. Xiong, Anfeng Liu, Ming Ma. An Effective Delay Reduction Approach through a Portion of Nodes with a Larger Duty Cycle for Industrial WSNs. Sensors. 2018; 18 (5):1535.
Chicago/Turabian StyleMinrui Wu; Yanhui Wu; Chuyao Liu; Zhiping Cai; Neal N. Xiong; Anfeng Liu; Ming Ma. 2018. "An Effective Delay Reduction Approach through a Portion of Nodes with a Larger Duty Cycle for Industrial WSNs." Sensors 18, no. 5: 1535.
With the development of smart devices and connection technologies, Wireless Sensor Networks (WSNs) are becoming increasingly intelligent. New or special functions can be obtained by receiving new versions of program codes to upgrade their software systems, forming the so-called smart Internet of Things (IoT). Due to the lossy property of wireless channels, data collection in WSNs still suffers from a long delay, high energy consumption, and many retransmissions. Thanks to wireless software-defined networks (WSDNs), software in sensors can now be updated to help them transmit data cooperatively, thereby achieving more reliable communication. In this paper, a Reliability Improved Cooperative Communication (RICC) data collection scheme is proposed to improve the reliability of random-network-coding-based cooperative communications in multi-hop relay WSNs without reducing the network lifetime. In WSNs, sensors in different positions can have different numbers of packets to handle, resulting in the unbalanced energy consumption of the network. In particular, nodes in non-hotspot areas have up to 90% of their original energy remaining when the network dies. To efficiently use the residual energy, in RICC, high data transmission power is adopted in non-hotspot areas to achieve a higher reliability at the cost of large energy consumption, and relatively low transmission power is adopted in hotspot areas to maintain the long network lifetime. Therefore, high reliability and a long network lifetime can be obtained simultaneously. The simulation results show that compared with other scheme, RICC can reduce the end-to-end Message Fail delivering Ratio (MFR) by 59.4%–62.8% under the same lifetime with a more balanced energy utilization.
Zhuangbin Chen; Ming Ma; Xiao Liu; Anfeng Liu; Ming Zhao. Reliability Improved Cooperative Communication over Wireless Sensor Networks. Symmetry 2017, 9, 209 .
AMA StyleZhuangbin Chen, Ming Ma, Xiao Liu, Anfeng Liu, Ming Zhao. Reliability Improved Cooperative Communication over Wireless Sensor Networks. Symmetry. 2017; 9 (10):209.
Chicago/Turabian StyleZhuangbin Chen; Ming Ma; Xiao Liu; Anfeng Liu; Ming Zhao. 2017. "Reliability Improved Cooperative Communication over Wireless Sensor Networks." Symmetry 9, no. 10: 209.
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Ming Ma; Lihong Li; Hao Han; Yifan Hu; Xianfeng Gu; Zhengrong Liang. Adaptive kernel based multiple kernel learning for computer-aided polyp detection in CT colonography. Geometry, Imaging and Computing 2015, 2, 23 -45.
AMA StyleMing Ma, Lihong Li, Hao Han, Yifan Hu, Xianfeng Gu, Zhengrong Liang. Adaptive kernel based multiple kernel learning for computer-aided polyp detection in CT colonography. Geometry, Imaging and Computing. 2015; 2 (1):23-45.
Chicago/Turabian StyleMing Ma; Lihong Li; Hao Han; Yifan Hu; Xianfeng Gu; Zhengrong Liang. 2015. "Adaptive kernel based multiple kernel learning for computer-aided polyp detection in CT colonography." Geometry, Imaging and Computing 2, no. 1: 23-45.